Uncertainty, Modeling, and Decision Making in Geotechnics

This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

Über den Autor / die Autorin

Kok-Kwang Phoon
is Cheng Tsang Man Chair Professor and Provost at the Singapore University of Technology and Design. He has edited three books and authored one book: Model Uncertainties in Foundation Design (CRC Press, 2021). He was awarded the ASCE Norman Medal twice, in 2005 and in 2020, and the Humboldt Research Award in 2017. He is the Founding Editor of Georisk and appointed a Board Member of ISSMGE and elected as a Fellow of the Academy of Engineering Singapore.
Takayuki Shuku
is Associate Professor of Okayama University in Japan. He received the Best Paper Award from Japan Society of Civil Engineering in 2020, and the ISSMGE Bright Spark Lecture Award in 2019.
Jianye Ching
is Distinguished Professor at National Taiwan University and Convener of the Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan. He served as Chair of ISSMGE's TC304 (risk) and Chair of Geotechnical Safety Network (GEOSNet). He is Managing Editor of the journal Georisk.

Zusammenfassung

This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

Produktdetails

• Autoren: Kok-Kwang (Nus Singapore Phoon, Kok-Kwang (Singapore University of Technolo Phoon
• Mitarbeit: Kok-Kwang Phoon (Herausgeber), Takayuki Shuku (Herausgeber), Jianye Ching (Herausgeber), Phoon Kok-Kwang (Herausgeber), Ching Jianye (Herausgeber)
• Verlag: Taylor & Francis Ltd.
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 11.12.2023
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Bau- und Umwelttechnik
• EAN: 9781032367491
• ISBN: 978-1-0-3236749-1
• Anzahl Seiten: 502
• Serie: Challenges in Geotechnical and Rock Engineering
• Themen: SCIENCE / Earth Sciences / Geology, TECHNOLOGY & ENGINEERING / Civil / Soil & Rock, Geology, geomorphology and the lithosphere, Geology & The Lithosphere, Soil & rock mechanics, Soil and rock mechanics, risk assessment modeling, reliability analysis methods, probabilistic site characterization, stochastic finite elements, spatial variability in soils, soil parameter variability, reliability-based geotechnical design examples